The AI Behind AML Bots That Flag Dirty Crypto in Seconds
Most crypto teams handle money at chain speed but review risk at human speed. A new counterparty appears, someone opens a block explorer, scrolls through pages of hashes and tries to spot anything worrying. Increasingly, that work is being routed through an aml bot instead: you paste a wallet address into chat, and a few seconds later you get a condensed picture of how risky that address looks and why.
What counts as “dirty” crypto
In day-to-day operations, “dirty” rarely means a single dramatic label. It can be a wallet that received funds from a well-known scam, an address touched by a hacked exchange, flows that pass through big mixers, or links to services that appear in sanctions and law-enforcement reports.
The…
